\name{summary}

\alias{summary.logregr.madlib}

\alias{summary.logregr.madlib.grps}

\alias{summary.glm.madlib}

\alias{summary.glm.madlib.grps}

\title{Summary information for Logistic Regression output}
\description{
    The function prints the value of each element in the Logistic
    Regression output object.}

\usage{

\method{summary}{logregr.madlib}(object, ...)

\method{summary}{logregr.madlib.grps}(object, ...)

\method{summary}{glm.madlib}(object, ...)

\method{summary}{glm.madlib.grps}(object, ...)

}

\arguments{
    \item{object}{Logistic regression object}

    \item{\dots}{
      Further arguments passed to or from other methods.
      This is currently not implemented.}
}

\value{
    The function returns the \code{logregr.madlib} or
    \code{logregr.madlib.grps} object passed to the function.
}

\author{
  Author: Predictive Analytics Team at Pivotal Inc.

  Maintainer: Frank McQuillan, Pivotal Inc. \email{fmcquillan@pivotal.io}
}

\seealso{
  \code{\link{madlib.glm}} wrapper for MADlib linear and logistic regressions.

  \code{\link{madlib.lm}} wrapper for MADlib linear regression
}


\examples{
## see the examples in madlib.glm
}

\keyword{madlib}
\keyword{stats}
\keyword{math}
